Phase-based frequency estimation: A review

ML Fowler - Digital Signal Processing, 2002 - Elsevier
Fowler, ML, Phase-Based Frequency Estimation: A Review, Digital Signal Processing12
(2002) 590–615 This paper provides a review of efficient frequency estimation methods that …

Recent advances in rapid frequency estimation

BG Quinn - Digital Signal Processing, 2009 - Elsevier
There are two main types of frequency estimator—the traditional, based on FFT's, and the
more modern, based on linear filtering. Statistical and computational efficiency usually have …

MAP/ML estimation of the frequency and phase of a single sinusoid in noise

H Fu, PY Kam - IEEE Transactions on Signal Processing, 2007 - ieeexplore.ieee.org
The problem of estimating the frequency and carrier phase of a single sinusoid observed in
additive, white, Gaussian noise is addressed. Much of the work in the literature considers …

FVID: fishing vessel type identification based on VMS trajectories

H Huang, F Hong, J Liu, C Liu, Y Feng… - Journal of Ocean University …, 2019 - Springer
Abstract Vessel Monitoring System (VMS) provides a new opportunity for quantified fishing
research. Many approaches have been proposed to recognize fishing activities with VMS …

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach

D Sharifrazi, N Javed, R Alizadehsani… - … Signal Processing and …, 2024 - Elsevier
Mosquito-borne diseases present considerable risks to the health of both animals and
humans. Aedes aegypti mosquitoes are the primary vectors for numerous medically …

Frequency estimation by phase unwrap**

RG McKilliam, BG Quinn, IVL Clarkson… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Single frequency estimation is a long-studied problem with application domains including
radar, sonar, telecommunications, astronomy and medicine. One method of estimation …

Bayesian periodic Cramér-Rao bound

T Routtenberg, J Tabrikian - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
The Cramér-Rao bound (CRB) has been extensively used as a benchmark for estimation
performance in both Bayesian and non-Bayesian frameworks. In many practical periodic …

Non-bayesian periodic Cramér-Rao bound

T Routtenberg, J Tabrikian - IEEE Transactions on Signal …, 2012 - ieeexplore.ieee.org
The Cramér-Rao bound (CRB) is one of the most important tools for performance analysis in
parameter estimation. In many practical periodic parameter estimation problems, the …

A generalized weighted linear predictor frequency estimation approach for a complex sinusoid

HC So, FKW Chan - IEEE Transactions on Signal Processing, 2006 - ieeexplore.ieee.org
Based on linear prediction and weighted least squares, three simple iterative algorithms for
frequency estimation of a complex sinusoid in additive white noise are devised. The …

Phase-based, time-domain estimation of the frequency and phase of a single sinusoid in AWGN—the role and applications of the additive observation phase noise …

H Fu, PY Kam - IEEE Transactions on Information Theory, 2013 - ieeexplore.ieee.org
<? Pub Dtl=""?> This paper presents the theoretical foundation for time-domain, phase-
based estimation of the frequency and phase of a single sinusoid in additive white Gaussian …